Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm

M. Verhoeven; T.A. Arentze; H.J.P. Timmermans; P.J.H.J. Waerden, van der

Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm

M. Verhoeven, T.A. Arentze, H.J.P. Timmermans, P.J.H.J. Waerden, van der

Urban Planning and Transportation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper describes the results of a study on the impact of lifecycle events on activity-travel choice decisions of individuals. An Internet-based survey was designed to collect data concerning structural lifecycle events. In addition, respondents answered questions about personal and household characteristics, possession and availability of transport modes and their current travel behavior. In total, 710 respondents completed the online survey. The complexity of transport mode choice is modeled using a Bayesian Belief Network. Previous papers describe the conceptual framework underlying the model and the temporal effects of lifecycle events on mode choice. This paper focuses on influences of structural life trajectory events on each other and on changes in resources that impact activity-travel decisions. We investigate the extent to which causal relations exist between these events and their direct and indirect effects on changes in transport mode availability and the possession of transit passes. A structure learning algorithm is used to build a Bayesian Belief Network of interdependencies between these events from the data.

Original language	English
Title of host publication	Proceedings of the 11th International Conference on Travel Behaviour Research (IATBR) Conference, Kyoto, Japan 16-20 august 2006
Editors	R. Kitamura
Place of Publication	Amsterdam
Publisher	Elsevier
Publication status	Published - 2006
Event	11th International Conference on Travel Behaviour Research (IATBR 2006), August 16-20, 2006, Kyoto, Japan - Kyoto University, Kyoto, Japan Duration: 16 Aug 2006 → 20 Aug 2006 http://trans.kuciv.kyoto-u.ac.jp/iatbr06/

Conference

Conference	11th International Conference on Travel Behaviour Research (IATBR 2006), August 16-20, 2006, Kyoto, Japan
Abbreviated title	IATBR 2006
Country/Territory	Japan
City	Kyoto
Period	16/08/06 → 20/08/06
Other	"The Expanding Sphere of Travel Behaviour Research"
Internet address	http://trans.kuciv.kyoto-u.ac.jp/iatbr06/

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Verhoeven, M., Arentze, T. A., Timmermans, H. J. P., & Waerden, van der, P. J. H. J. (2006). Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm. In R. Kitamura (Ed.), Proceedings of the 11th International Conference on Travel Behaviour Research (IATBR) Conference, Kyoto, Japan 16-20 august 2006 Elsevier.

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title = "Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm",

abstract = "This paper describes the results of a study on the impact of lifecycle events on activity-travel choice decisions of individuals. An Internet-based survey was designed to collect data concerning structural lifecycle events. In addition, respondents answered questions about personal and household characteristics, possession and availability of transport modes and their current travel behavior. In total, 710 respondents completed the online survey. The complexity of transport mode choice is modeled using a Bayesian Belief Network. Previous papers describe the conceptual framework underlying the model and the temporal effects of lifecycle events on mode choice. This paper focuses on influences of structural life trajectory events on each other and on changes in resources that impact activity-travel decisions. We investigate the extent to which causal relations exist between these events and their direct and indirect effects on changes in transport mode availability and the possession of transit passes. A structure learning algorithm is used to build a Bayesian Belief Network of interdependencies between these events from the data.",

author = "M. Verhoeven and T.A. Arentze and H.J.P. Timmermans and {Waerden, van der}, P.J.H.J.",

year = "2006",

language = "English",

editor = "R. Kitamura",

booktitle = "Proceedings of the 11th International Conference on Travel Behaviour Research (IATBR) Conference, Kyoto, Japan 16-20 august 2006",

publisher = "Elsevier",

address = "Netherlands",

note = "11th International Conference on Travel Behaviour Research (IATBR 2006), August 16-20, 2006, Kyoto, Japan, IATBR 2006 ; Conference date: 16-08-2006 Through 20-08-2006",

url = "http://trans.kuciv.kyoto-u.ac.jp/iatbr06/",

}

Verhoeven, M, Arentze, TA, Timmermans, HJP & Waerden, van der, PJHJ 2006, Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm. in R Kitamura (ed.), Proceedings of the 11th International Conference on Travel Behaviour Research (IATBR) Conference, Kyoto, Japan 16-20 august 2006. Elsevier, Amsterdam, 11th International Conference on Travel Behaviour Research (IATBR 2006), August 16-20, 2006, Kyoto, Japan, Kyoto, Japan, 16/08/06.

Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm. / Verhoeven, M.; Arentze, T.A.; Timmermans, H.J.P. et al.
Proceedings of the 11th International Conference on Travel Behaviour Research (IATBR) Conference, Kyoto, Japan 16-20 august 2006. ed. / R. Kitamura. Amsterdam: Elsevier, 2006.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm

AU - Verhoeven, M.

AU - Arentze, T.A.

AU - Timmermans, H.J.P.

AU - Waerden, van der, P.J.H.J.

PY - 2006

Y1 - 2006

N2 - This paper describes the results of a study on the impact of lifecycle events on activity-travel choice decisions of individuals. An Internet-based survey was designed to collect data concerning structural lifecycle events. In addition, respondents answered questions about personal and household characteristics, possession and availability of transport modes and their current travel behavior. In total, 710 respondents completed the online survey. The complexity of transport mode choice is modeled using a Bayesian Belief Network. Previous papers describe the conceptual framework underlying the model and the temporal effects of lifecycle events on mode choice. This paper focuses on influences of structural life trajectory events on each other and on changes in resources that impact activity-travel decisions. We investigate the extent to which causal relations exist between these events and their direct and indirect effects on changes in transport mode availability and the possession of transit passes. A structure learning algorithm is used to build a Bayesian Belief Network of interdependencies between these events from the data.

AB - This paper describes the results of a study on the impact of lifecycle events on activity-travel choice decisions of individuals. An Internet-based survey was designed to collect data concerning structural lifecycle events. In addition, respondents answered questions about personal and household characteristics, possession and availability of transport modes and their current travel behavior. In total, 710 respondents completed the online survey. The complexity of transport mode choice is modeled using a Bayesian Belief Network. Previous papers describe the conceptual framework underlying the model and the temporal effects of lifecycle events on mode choice. This paper focuses on influences of structural life trajectory events on each other and on changes in resources that impact activity-travel decisions. We investigate the extent to which causal relations exist between these events and their direct and indirect effects on changes in transport mode availability and the possession of transit passes. A structure learning algorithm is used to build a Bayesian Belief Network of interdependencies between these events from the data.

M3 - Conference contribution

BT - Proceedings of the 11th International Conference on Travel Behaviour Research (IATBR) Conference, Kyoto, Japan 16-20 august 2006

A2 - Kitamura, R.

PB - Elsevier

CY - Amsterdam

T2 - 11th International Conference on Travel Behaviour Research (IATBR 2006), August 16-20, 2006, Kyoto, Japan

Y2 - 16 August 2006 through 20 August 2006

ER -

Modeling the influence of structural lifecycle events on activity-travel decisions using a structure learning algorithm

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